Leading AI Teams Now: Master It Before Your Competition Does
This online engineering PDH course examines AI-driven leadership strategies for managing engineering teams and improving performance in the evolving technological landscape.
Artificial intelligence is transforming engineering design, analysis, and project delivery, requiring technical leaders to adapt their management approaches to effectively integrate AI tools into engineering workflows.
The adoption of AI introduces challenges related to professional judgment, ethical responsibilities, workforce adaptation, skill development, and team cohesion, requiring leadership strategies that balance technological innovation with human oversight and organizational effectiveness.
This course covers AI-driven leadership principles, Maslow’s Hierarchy of Needs, psychological safety, directive and facilitative leadership, AI literacy, NSPE-based ethical guidelines, and change management frameworks, including Kotter, ADKAR, and Lewin. It also emphasizes practical leadership strategies, real-world case studies, actionable templates, and a five-pillar competitive advantage framework for improving team performance, managing risks, and supporting responsible AI adoption.
This 5 PDH online course is applicable to civil and mechanical engineers, as well as other technical professionals who are interested in learning more about AI-driven leadership and managing engineering teams in the AI era.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding how Maslow’s Hierarchy of Needs supports motivation and retention in hybrid engineering teams
- Learning how to build psychological safety to encourage early reporting of risks, errors, and concerns
- Understanding the transition from directive to facilitative leadership in AI-assisted engineering teams
- Familiarizing with practical AI literacy strategies for improving team capabilities and collaboration
- Understanding ethical responsibilities and public safety considerations in AI-driven engineering decisions
- Learning how to apply Kotter’s 8 Steps, ADKAR, and Lewin’s model to manage AI adoption
- Familiarizing with team charters, performance metrics, retrospectives, and decision-making frameworks for effective AI leadership
- Learning how to position and market AI-enabled engineering teams to forward-thinking clients
In this professional engineering CEU course, you need to review the course document titled, “Leading AI Teams Now: Master It Before Your Competition Does”, prepared by Richard Grimes.
Once you complete your course review, you need to take a multiple-choice quiz consisting of twenty-five (25) questions to earn 5 PDH credits. The quiz will be based on the entire document.
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.